18 Fake News Detection
A practical course that treats fake-news detection not as simple news reading, but as a core digital judgment skill connecting source verification, fact-checking, image/video verification, AI-generated misinformation detection, deepfake basics, and organizational misinformation response.
0. Purpose and ultimate goal
The ultimate goal is to help learners avoid believing or sharing sensational and plausible misinformation, and instead make evidence-based judgments by checking source, date, evidence, image context, and possible AI generation. The course follows a professional training style centered on real news, social, and video case analysis, fact-checking practice, AI/deepfake verification, response policies, and training-material outputs.
Referenced professional training patterns
- US/UK private media-literacy courses focused on fake-news detection and fact-checking practice
- European vocational misinformation-response, data-literacy, and news-analysis project patterns
- SIFT, lateral reading, and reverse-image-search based verification training flow
- AI-generated misinformation, deepfake, and organizational response-policy output structure
Beginner · 1 Day
Beginner 1 Day Fake News Detection Curriculum
A one-day practical course for identifying fake news, exaggerated news, sponsored articles, manipulated images, and AI-generated misinformation.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Objective 1: fake news of and type understanding. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Objective 2 | Objective 2: of and. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Objective 3 | Objective 3: fake news sharing · procedure. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
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| Platforms | Google Search, Naver Search, Google News, Naver News, Bing, YouTube, KakaoTalk, Instagram, Facebook, SNU FactCheck, FactCheck.org, Snopes, Google Docs |
|---|---|
| Instructor profile | Instructor should have media literacy, fake-news detection, fact-checking, AI verification, and learner-support experience. |
| Target learners | General citizens,,, older adults, people with disabilities, digitally vulnerable groups, SNS · with learners |
| Duration | 4-6 hours |
| Materials | PC or,, internet, fake news,, sharing activity, |
| Deliverables | Fake news type table, table, sharing 30 table, |
| Assessment | Type Category 25%, 30%, sharing 25%, writing 10%, participation 10% |
Beginner · 3 Days
Beginner 3 Days Fake News Detection Curriculum
A three-day course comparing news, social media, YouTube, images, shorts, and sponsored content while learning fake-news production, spread patterns, and fact-checking workflows.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Objective 1: fake news analysis. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Objective 2 | Objective 2: image · video based fake news. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
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| Objective 3 | Objective 3: result document with organize. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Platforms | Google Search, Naver Search, Google News, Naver News, Google Lens, TinEye, Yandex Images, YouTube, SNU FactCheck, Reuters Fact Check, AFP Fact Check, Snopes, FactCheck.org, Google Docs, Word |
|---|---|
| Instructor profile | Instructor should have media literacy, fake-news detection, fact-checking, AI verification, and learner-support experience. |
| Target learners | , college student, general citizens,,, people with disabilities education learners, content online |
| Duration | 12-18 hours |
| Materials | ,, internet, · image · video, image search activity, report, assessment rubric |
| Deliverables | Fake news, image · video table, comparisontable, fake news report |
| Assessment | Analysis 25%, image · video 25%, use 25%, report writing 15%, feedback 10% |
Beginner · 1 Week
Beginner 1 Week Fake News Detection Curriculum
A one-week course expanding fake-news detection into information verification, AI-generated misinformation detection, deepfake basics, data checking, and prevention-content creation.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Objective 1: by fake news system with. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Objective 2 | Objective 2: AI information and understanding. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
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| Objective 3 | Objective 3: fake news prevention education content creation. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
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| Platforms | Google Search, Google Scholar, Google Dataset Search, Public Data Portal, KOSIS, OECD Data, World Bank Data, ChatGPT, Gemini, Copilot, Perplexity, SNU FactCheck, Snopes, Reuters Fact Check, Canva, PowerPoint, Google Slides |
|---|---|
| Instructor profile | Instructor should have media literacy, fake-news detection, fact-checking, AI verification, and learner-support experience. |
| Target learners | High school student, college student,, introductory, instructor ·, general citizens, AI information introductory |
| Duration | 20-30 hours |
| Materials | , internet, AI tools account, fake news, materials, table, card news, presentation deck |
| Deliverables | By fake news table, AI information evaluationtable, table, fake news prevention card news or presentation deck |
| Assessment | By 25%, AI information evaluation 25%, understanding 20%, prevention content 20%, presentation · feedback 10% |
Intermediate · 4 Weeks
Intermediate 4 Weeks Fake News Detection Curriculum
A practical four-week course expanding fake-news detection into organizational fact-checking, review of public materials, AI-search verification, and misinformation-response process design.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Objective 1: organization in fake news response design. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Objective 2 | Objective 2: AI search and tools. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Objective 3 | Objective 3: fake news response education and creation. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Platforms | Google Search, Naver Search, Bing, Perplexity, ChatGPT, Gemini, Copilot, SNU FactCheck, Reuters Fact Check, AFP Fact Check, Snopes, Google Sheets, Airtable, Notion, Google Forms, Microsoft Forms, Canva, PowerPoint |
|---|---|
| Instructor profile | Instructor should have media literacy, fake-news detection, fact-checking, AI verification, and learner-support experience. |
| Target learners | Education target,, promotion · marketing, educationorganization practitioner, instructor ·, small business owner, education operation |
| Duration | 40-60 hours |
| Materials | , internet, AI tools account, organization scenario, promotionmaterials · materials, managementtable, ·, |
| Deliverables | Organization fake news analysistable,, AI search managementtable, fake news evaluation, prevention materials |
| Assessment | Organization analysis 25%, AI search 25%, managementtable 20%, education · materials 20%, team presentation 10% |
Advanced · 8 Weeks
Advanced 8 Weeks Fake News Detection Curriculum
An advanced project course connecting fake-news detection to professional fact-checking projects, organizational response policies, AI/deepfake verification, civic-education products, and verification portfolios.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Objective 1: fake news project perform. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Objective 2 | Objective 2: organization type information response and system design. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Objective 3 | Objective 3: fake news education and portfolio creation. |
Hands-on practice using realistic fake-news detection cases with instructor demonstration and learner review.
Learners complete a practical fake-news verification task, submit an output, and revise it through feedback.
|
| Platforms | Google Search, Google Scholar, Google Dataset Search, SNU FactCheck, FactCheck.org, Snopes, Reuters Fact Check, AFP Fact Check, OECD Data, World Bank Data, KOSIS, Perplexity, ChatGPT, Gemini, Copilot, Notion, Airtable, Google Drive, Google Sites, Canva |
|---|---|
| Instructor profile | Instructor should have media literacy, fake-news detection, fact-checking, AI verification, and learner-support experience. |
| Target learners | Digital Instructor course, education, education, educationorganization operation, content creation, promotion, AI information advanced learners |
| Duration | 80-120 hours |
| Materials | , internet, AI tools account,, assessmenttable, information response, education design, portfolio, assessment rubric |
| Deliverables | Fake news report, organization information response,, target by, fake news by portfolio |
| Assessment | Project 30%, response 20%, 20%, education 20%, presentation 10% |